2019ChenGong / Offline_RL_Poisoner
Replication Package for "Mind Your Data! Hiding Backdoors in Offline Reinforcement Learning Datasets", IEEE S&P 2024.
☆23Updated 3 months ago
Related projects ⓘ
Alternatives and complementary repositories for Offline_RL_Poisoner
- Open source implementation of the TrojDRL algorithm presented in TrojDRL: Evaluation of backdoor attacks on Deep Reinforcement Learning☆17Updated 4 years ago
- Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework☆59Updated 3 years ago
- This repository contains the official code for our NeurIPS 2021 publication "Robust Deep Reinforcement Learning through Adversarial Loss…☆28Updated 2 years ago
- [NeurIPS 2020, Spotlight] Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"☆116Updated 3 years ago
- [NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning☆33Updated 3 years ago
- Adversarial attacks on Deep Reinforcement Learning (RL)☆77Updated 3 years ago
- ☆14Updated last year
- ☆19Updated 2 years ago
- [NeurIPS 2020 Spotlight] State-adversarial PPO for robust deep reinforcement learning☆23Updated 3 years ago
- Adversarial attacks in consensus-based multi-agent reinforcement learning☆20Updated last year
- Code for "On the Robustness of Safe Reinforcement Learning under Observational Perturbations" (ICLR 2023)☆41Updated last year
- Implementations of safe reinforcement learning algorithms☆21Updated 8 months ago
- ☆61Updated last year
- Efficient Adversarial Training without Attacking: Worst-Case-Aware Robust Reinforcement Learning☆23Updated last year
- Adversarial Reinforcement Learning papers (single-agent setting and multi-agent setting)☆62Updated 2 years ago
- ☆40Updated last week
- Value-Decomposition Multi-Agent Actor-Critics☆40Updated last year
- An implementation of Constrained Policy Optimization (Achiam 2017) in PyTorch☆22Updated 4 years ago
- Code for "Constrained Variational Policy Optimization for Safe Reinforcement Learning" (ICML 2022)☆65Updated last year
- Pytorch implementation of Multi-Agent Generative Adversarial Imitation Learning☆37Updated 2 years ago
- [AAAI 2023 Oral] Contrastive Identity-Aware Learning for Multi-Agent Value Decomposition☆29Updated 5 months ago
- Code for the paper "WCSAC: Worst-Case Soft Actor Critic for Safety-Constrained Reinforcement Learning"☆51Updated last year
- Implementations of SAILR, PDO, and CSC☆31Updated 4 months ago
- Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.0918…☆41Updated 5 years ago
- Code for the NeurIPS 2023 Paper: Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Sta…☆19Updated last year
- Safe Multi-Agent MuJoCo benchmark for safe multi-agent reinforcement learning research.☆51Updated 5 months ago
- Pytorch Implementation for First Order Constrained Optimization in Policy Space (FOCOPS).☆25Updated 2 years ago
- NeurIPS2022: Constrained Update Projection Approach to Safe Policy Optimization☆11Updated last year
- Deep Learning (FS 2020)☆16Updated 2 years ago
- The offcial implementation of "ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind" (ICLR 2022) .☆55Updated 2 weeks ago